In various industries and sectors, the prevention of accidents is a paramount concern. In recent years, artificial intelligence (AI) techniques have emerged as powerful tools for enhancing accident prevention efforts. Leveraging AI in accident prevention offers the potential to reduce human error, predict and mitigate risks, and ultimately save lives. The current study provides an overview of how AI techniques are being employed to prevent accidents across different domains. The hazardous activities cause immediate danger to the workers or the high death rates in the activity are taken and the AI techniques are more effective in mitigating these accidents. AI-powered drones and robots can be used to inspect and monitor confined spaces, reducing the need for human workers to enter dangerous areas. Sensors and detectors can continuously monitor air quality within confined spaces. AI can predict when equipment located in confined spaces requires maintenance or repair. Incorporating AI in confined space safety not only reduces risks and improves worker safety but also enhances operational efficiency. Additionally, they should be used in conjunction with a comprehensive safety strategy that includes proper training, personal protective equipment, and emergency response protocols.